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Bai, Hou, Wu, and Zhang: An Itelligent System for Diagnosis of Coronary Artery Disease with BP Neural Networks
Original Article

Journal of Korean Society of Medical Informatics 2007; 13(2): 147-152.

Published online: 30 June 2007

DOI: https://doi.org/10.4258/jksmi.2007.13.2.147

An Itelligent System for Diagnosis of Coronary Artery Disease with BP Neural Networks

Yanping Bai, Liya Hou, Shuicai Wu, Di Zhang

College of Life Sciences and Bioengineering, Beijing University of Technology, Beijing 100022, China.

wushuicai@bjut.edu.cn

Copyright © Korean Society of Medical Informatics

Abstract

OBJECTIVE

In this paper, an intelligent system using BP neural networks (BPNN) is presented for early detection coronary artery disease (CAD).

METHODS

Based on the four features of ECG signals and six basic parameters of patients, BPNN was built and trained. Especially the method which combined feature extraction and classification was discussed.

RESULTS

The performance of the intelligent system has been evaluated in 20 samples. The test results showed that this system was effective in detecting CAD. The correct classification rate was about 90% for normal subjects and 100% for abnormal subjects.

CONCLUSION

BPNN could quite accurately detect abnormal subjects. Because it is not expensive and noninvasive, it is fit to examine health of the elderly and has good application foreground.

Keywords: BP Neural Networks (BPNN), Coronary Artery Disease (CAD), Noninvasive Intelligent Diagnosis

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